Easter Seals Jobs

Description

Amazon Global Selling is a key initiative to achieve our vision to offer customers Earth’s largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year, tens of thousands of businesses join our Marketplace globally, adding millions of new products. More than 2 million sellers use this Marketplace, exceeding 60% of Amazon unit sales and growing.

In our effort to support this aggressive growth around the world, we are looking for a passionate business analyst to turn data into actionable insights, and support answer strategic business questions.

In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights. In this role, you will have ownership of end-to-end analytics development to complex questions and you’ll play an integral role in strategic decision making.

You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities, and to drive data-driven decision into process & tool improvement together with business team. Above all, you should be passionate about how insights can be used to improve both the Customer and Seller experience of selling across borders.

Basic Qualifications

• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

• Master in data processing, automation and optimization, experience in scripting (e.g. Python) and data visualization

Preferred Qualifications

• Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

• Knowledge of data modeling and machine learning techniques